WEA-Acceptance Data: A Dataset of Acoustic, Meteorological, and Operational Wind Turbine Measurements

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Daphne Schössow
  • Stephan Preihs
  • Jürgen Peissig
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Details

Original languageEnglish
Article number46
Number of pages13
JournalData
Volume9
Issue number3
Publication statusPublished - 15 Mar 2024

Abstract

In this article, a dataset is described which combines wind turbine supervisory control and data acquisition (SCADA), meteorological and acoustical data and thus gives a detailed description of a wind farm and its atmospheric and acoustic environment. The data were collected during different seasons for several weeks at a time, such that a multitude of environmental and operational conditions are covered. In five measurement campaigns, in total three different locations with similar surroundings were captured. The raw data were enhanced with derived values such as atmospheric stability or direction of sound propagation. Data of one month including all time series measurements as well as monophonic audio recordings are now published. The dataset also contains three exemplary use cases along with documents that describe the data pre-processing. DataSet: https://doi.org/10.25835/c2mv3d7z.

Keywords

    acoustics, dataset, meteorology, SCADA, wind turbine, wind turbine sound

ASJC Scopus subject areas

Cite this

WEA-Acceptance Data: A Dataset of Acoustic, Meteorological, and Operational Wind Turbine Measurements. / Schössow, Daphne; Preihs, Stephan; Peissig, Jürgen.
In: Data, Vol. 9, No. 3, 46, 15.03.2024.

Research output: Contribution to journalArticleResearchpeer review

Schössow D, Preihs S, Peissig J. WEA-Acceptance Data: A Dataset of Acoustic, Meteorological, and Operational Wind Turbine Measurements. Data. 2024 Mar 15;9(3):46. doi: 10.3390/data9030046
Schössow, Daphne ; Preihs, Stephan ; Peissig, Jürgen. / WEA-Acceptance Data : A Dataset of Acoustic, Meteorological, and Operational Wind Turbine Measurements. In: Data. 2024 ; Vol. 9, No. 3.
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